Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/10082
Title: Kaotik i̇şaretlerde Wiener ve Kalman yöntemleri kullanarak gürültü süzgeçleme
Other Titles: Noise reduction in chaotic signals by using Wiener and Kalman filtering methods
Authors: Çek, Emre
Oral, Ömer
Akay, Olcay
Issue Date: 2007
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: In this paper, the additive white noise was filtered from chaotic signals obtained by Logistic map by using Wiener, Extended and Unscented Kalman filters, respectively. Performances of each method were compared by finding mean square error versus signal to noise ratio (SNR) and correlation dimension which is one of the invariants of the chaotic dynamical systems. It was observed that, each method exhibits different MSE performances depending on the particular signal to noise ratio.
Description: IEEE 15th Signal Processing and Communications Applications Conference
URI: https://hdl.handle.net/11147/10082
ISBN: 978-1-4244-0719-4
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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